Evidence map›Paper›PMID 29875815›Full record

ArticleEvolutionary applications2018

Does a plant-eating insect's diet govern the evolution of insecticide resistance? Comparative tests of the pre-adaptation hypothesis.

Nate B Hardy, Daniel A Peterson, Laura Ross, Jay A Rosenheim

Abstract read
In one paragraph

Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Complex Roles of Insect Cytochrome P450s in Chemical Adaptation.International journal of biological sciences · 2026
    Review
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  8. Transposable elements and xenobiotic resistance.Frontiers in insect science · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nate B HardyDepartment of Entomology and Plant Pathology Auburn University Auburn AL USA.ORCID 0000-0001-6133-7086
Daniel A PetersonGraduate Program in Organismic & Evolutionary Biology Department of Biology University of Massachusetts Amherst MA USA.ORCID 0000-0002-3024-3068
Laura RossSchool of Biological Sciences Institute of Evolutionary Biology University of Edinburgh Edinburgh UK.ORCID 0000-0003-3184-4161
Jay A RosenheimDepartment of Entomology and Nematology University of California Davis CA USA.ORCID 0000-0002-9228-4754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the pre-adaptation hypothesis, the evolution of insecticide resistance in plant-eating insects co-opts adaptations that initially evolved during chemical warfare with their host plants. Here, we used comparative statistics to test two predictions of this hypothesis: (i) Insects with more diverse diets should evolve resistance to more diverse insecticides. (ii) Feeding on host plants with strong or diverse qualitative chemical defenses should prime an insect lineage to evolve insecticide resistance. Both predictions are supported by our tests. What makes this especially noteworthy is that differences in the diets of plant-eating insect species are typically ignored by the population genetic models we use to make predictions about insecticide resistance evolution. Those models surely capture some of the differences between host-use generalists and specialists, for example, differences in population size and migration rates into treated fields, but they miss other potentially important differences, for example, differences in metabolic diversity and gene expression plasticity. Ignoring these differences could be costly.

Indexed as

generalized linear mixed modelspesticide resistancephylogenyplant–insect interactions

Identifiers

PMID29875815
PMCPMC5979754

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.